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Real-time cell analysis: A high-throughput approach for testing SARS-CoV-2 antibody neutralization and escape
Real-time cell analysis (RTCA) enables high-throughput, quantitative kinetic measurements of cytopathic effect (CPE) in virus-infected cells. Here, we detail a RTCA approach for assessing antibody neutralization. We describe how to evaluate the neutralizing potency of monoclonal antibodies (mAbs) an...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9023333/ https://www.ncbi.nlm.nih.gov/pubmed/35578733 http://dx.doi.org/10.1016/j.xpro.2022.101387 |
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author | Suryadevara, Naveenchandra Gilchuk, Pavlo Zost, Seth J. Mittal, Nikhil Zhao, Li Leyna Crowe, James E. Carnahan, Robert H. |
author_facet | Suryadevara, Naveenchandra Gilchuk, Pavlo Zost, Seth J. Mittal, Nikhil Zhao, Li Leyna Crowe, James E. Carnahan, Robert H. |
author_sort | Suryadevara, Naveenchandra |
collection | PubMed |
description | Real-time cell analysis (RTCA) enables high-throughput, quantitative kinetic measurements of cytopathic effect (CPE) in virus-infected cells. Here, we detail a RTCA approach for assessing antibody neutralization. We describe how to evaluate the neutralizing potency of monoclonal antibodies (mAbs) and identify viral escape mutants to antibody neutralization for severe respiratory syndrome coronavirus 2 (SARS-CoV-2). For complete details on the use and execution of this protocol, please refer to Zost et al. (2020) and Suryadevara et al. (2021). |
format | Online Article Text |
id | pubmed-9023333 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-90233332022-04-22 Real-time cell analysis: A high-throughput approach for testing SARS-CoV-2 antibody neutralization and escape Suryadevara, Naveenchandra Gilchuk, Pavlo Zost, Seth J. Mittal, Nikhil Zhao, Li Leyna Crowe, James E. Carnahan, Robert H. STAR Protoc Protocol Real-time cell analysis (RTCA) enables high-throughput, quantitative kinetic measurements of cytopathic effect (CPE) in virus-infected cells. Here, we detail a RTCA approach for assessing antibody neutralization. We describe how to evaluate the neutralizing potency of monoclonal antibodies (mAbs) and identify viral escape mutants to antibody neutralization for severe respiratory syndrome coronavirus 2 (SARS-CoV-2). For complete details on the use and execution of this protocol, please refer to Zost et al. (2020) and Suryadevara et al. (2021). Elsevier 2022-04-22 /pmc/articles/PMC9023333/ /pubmed/35578733 http://dx.doi.org/10.1016/j.xpro.2022.101387 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Protocol Suryadevara, Naveenchandra Gilchuk, Pavlo Zost, Seth J. Mittal, Nikhil Zhao, Li Leyna Crowe, James E. Carnahan, Robert H. Real-time cell analysis: A high-throughput approach for testing SARS-CoV-2 antibody neutralization and escape |
title | Real-time cell analysis: A high-throughput approach for testing SARS-CoV-2 antibody neutralization and escape |
title_full | Real-time cell analysis: A high-throughput approach for testing SARS-CoV-2 antibody neutralization and escape |
title_fullStr | Real-time cell analysis: A high-throughput approach for testing SARS-CoV-2 antibody neutralization and escape |
title_full_unstemmed | Real-time cell analysis: A high-throughput approach for testing SARS-CoV-2 antibody neutralization and escape |
title_short | Real-time cell analysis: A high-throughput approach for testing SARS-CoV-2 antibody neutralization and escape |
title_sort | real-time cell analysis: a high-throughput approach for testing sars-cov-2 antibody neutralization and escape |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9023333/ https://www.ncbi.nlm.nih.gov/pubmed/35578733 http://dx.doi.org/10.1016/j.xpro.2022.101387 |
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